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Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin

The D76N mutant of the [Formula: see text] protein is a biologically motivated model system to study protein aggregation. There is strong experimental evidence, supported by molecular simulations, that D76N populates a highly dynamic conformation (which we originally named [Formula: see text]) that...

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Autores principales: Oliveira, Nuno F.B., Rodrigues, Filipe E.P., Vitorino, João N.M., Loureiro, Rui J.S., Faísca, Patrícia F.N., Machuqueiro, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473664/
https://www.ncbi.nlm.nih.gov/pubmed/34630936
http://dx.doi.org/10.1016/j.csbj.2021.09.003
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author Oliveira, Nuno F.B.
Rodrigues, Filipe E.P.
Vitorino, João N.M.
Loureiro, Rui J.S.
Faísca, Patrícia F.N.
Machuqueiro, Miguel
author_facet Oliveira, Nuno F.B.
Rodrigues, Filipe E.P.
Vitorino, João N.M.
Loureiro, Rui J.S.
Faísca, Patrícia F.N.
Machuqueiro, Miguel
author_sort Oliveira, Nuno F.B.
collection PubMed
description The D76N mutant of the [Formula: see text] protein is a biologically motivated model system to study protein aggregation. There is strong experimental evidence, supported by molecular simulations, that D76N populates a highly dynamic conformation (which we originally named [Formula: see text]) that exposes aggregation-prone patches as a result of the detachment of the two terminal regions. Here, we use Molecular Dynamics simulations to study the stability of an ensemble of dimers of [Formula: see text] generated via protein–protein docking. MM-PBSA calculations indicate that within the ensemble of investigated dimers the major contribution to interface stabilization at physiological pH comes from hydrophobic interactions between apolar residues. Our structural analysis also reveals that the interfacial region associated with the most stable binding modes are particularly rich in residues pertaining to both the N- and C-terminus, as well residues from the BC- and DE-loops. On the other hand, the less stable interfaces are stabilized by intermolecular interactions involving residues from the CD- and EF-loops. By focusing on the most stable binding modes, we used a simple geometric rule to propagate the corresponding dimer interfaces. We found that, in the absence of any kind of structural rearrangement occurring at an early stage of the oligomerization pathway, some interfaces drive a self-limited growth process, while others can be propagated indefinitely allowing the formation of long, polymerized chains. In particular, the interfacial region of the most stable binding mode reported here falls in the class of self-limited growth.
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spelling pubmed-84736642021-10-07 Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin Oliveira, Nuno F.B. Rodrigues, Filipe E.P. Vitorino, João N.M. Loureiro, Rui J.S. Faísca, Patrícia F.N. Machuqueiro, Miguel Comput Struct Biotechnol J Research Article The D76N mutant of the [Formula: see text] protein is a biologically motivated model system to study protein aggregation. There is strong experimental evidence, supported by molecular simulations, that D76N populates a highly dynamic conformation (which we originally named [Formula: see text]) that exposes aggregation-prone patches as a result of the detachment of the two terminal regions. Here, we use Molecular Dynamics simulations to study the stability of an ensemble of dimers of [Formula: see text] generated via protein–protein docking. MM-PBSA calculations indicate that within the ensemble of investigated dimers the major contribution to interface stabilization at physiological pH comes from hydrophobic interactions between apolar residues. Our structural analysis also reveals that the interfacial region associated with the most stable binding modes are particularly rich in residues pertaining to both the N- and C-terminus, as well residues from the BC- and DE-loops. On the other hand, the less stable interfaces are stabilized by intermolecular interactions involving residues from the CD- and EF-loops. By focusing on the most stable binding modes, we used a simple geometric rule to propagate the corresponding dimer interfaces. We found that, in the absence of any kind of structural rearrangement occurring at an early stage of the oligomerization pathway, some interfaces drive a self-limited growth process, while others can be propagated indefinitely allowing the formation of long, polymerized chains. In particular, the interfacial region of the most stable binding mode reported here falls in the class of self-limited growth. Research Network of Computational and Structural Biotechnology 2021-09-08 /pmc/articles/PMC8473664/ /pubmed/34630936 http://dx.doi.org/10.1016/j.csbj.2021.09.003 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Oliveira, Nuno F.B.
Rodrigues, Filipe E.P.
Vitorino, João N.M.
Loureiro, Rui J.S.
Faísca, Patrícia F.N.
Machuqueiro, Miguel
Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin
title Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin
title_full Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin
title_fullStr Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin
title_full_unstemmed Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin
title_short Predicting stable binding modes from simulated dimers of the D76N mutant of [Formula: see text] 2-microglobulin
title_sort predicting stable binding modes from simulated dimers of the d76n mutant of [formula: see text] 2-microglobulin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473664/
https://www.ncbi.nlm.nih.gov/pubmed/34630936
http://dx.doi.org/10.1016/j.csbj.2021.09.003
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